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Learning with Errors is a form of lattice problem used in the design of cryptographic primitives. LWE is based on the Closest Vector Problem (CVP).

1 vote
0 answers
87 views

Probability of an RLWE sample

Let $R_q=\mathbb{Z}_q[x]/(x^n+1)$ as usual in the RLWE assumption. Suppoes that I choose a sample of the RLWE distribution, that is, I compute $(a,y=as+e)$ where $a$ is uniform in $R_q$ and $s,e\lef …
3 votes
2 answers
409 views

Hardness of LPN problem with small secret

The Learning Parity with Noise (LPN) assumption states that, for a fixed secret $s$ chosen uniformly from $\{0,1\}^n$, then the distribution that outputs $(a,a\cdot s+e)$, where $a$ is uniform in $\{0 …
4 votes
1 answer
356 views

Adapting LWE Trapdoors for Ring-LWE

In the paper Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller by Micciancio and Peikert, they present the following theorem about the existence of trapdoor for LWE. … .$ They mention that the results in the paper can be straightforwardly adapted to the ring setting (Ring-LWE), however, they don't give details on that. …
4 votes
1 answer
219 views

Minimum distance between polynomials in ring-LWE

Let $R_q=\mathbb{Z}_q[x]/\langle f(x)\rangle$ where $f(x)=x^n+1$, as in the ring-LWE problem. Let $a(x)$ be chosen uniformly at random from $R_q$. …